Too big to ignore : the business case for big data /

Includes bibliographical references and index

Bibliographic Details
Main Author: 483365 Simon, Phil
Format:
Language:eng
Published: New York : Wiley, 2013
Subjects:
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author 483365 Simon, Phil
author_facet 483365 Simon, Phil
author_sort 483365 Simon, Phil
collection OCEAN
description Includes bibliographical references and index
first_indexed 2024-03-05T12:54:59Z
format
id KOHA-OAI-TEST:488312
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T12:54:59Z
publishDate 2013
publisher New York : Wiley,
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spelling KOHA-OAI-TEST:4883122020-12-19T17:18:02ZToo big to ignore : the business case for big data / 483365 Simon, Phil New York : Wiley,2013engIncludes bibliographical references and indexPSZJBLData miningDatabase managementBusiness Big dataURN:ISBN:9781118638170 (hbk.)
spellingShingle Data mining
Database management
Business
Big data
483365 Simon, Phil
Too big to ignore : the business case for big data /
title Too big to ignore : the business case for big data /
title_full Too big to ignore : the business case for big data /
title_fullStr Too big to ignore : the business case for big data /
title_full_unstemmed Too big to ignore : the business case for big data /
title_short Too big to ignore : the business case for big data /
title_sort too big to ignore the business case for big data
topic Data mining
Database management
Business
Big data
work_keys_str_mv AT 483365simonphil toobigtoignorethebusinesscaseforbigdata